چکیده مقاله
Suspended sediment QS transport has a great importance in understanding of river hydraulics and engineering and morphology, which is been a subject for engineers and geologists to study In this research for the purpose of modeling QS of Ajichay River, Adaptive Neuro Fuzzy Inference System ANFIS was employed Selected ANFIS model utilized 2 gauss membership function because of its fine capability in mapping For prediction of one step ahead QS for three stations located in Ajichay River, selected relevant inputs were exported to ANFIS in order to perform sensitivity analysis Results demonstrated that input data combination of QS and streamflow QW of one month and twelve month ago Comb 4 had the best performance Results of RMSE and DC approved that ANFIS performance in temporal modeling of QS was appropriate
کلیدواژهها
نویسندگان
Farhad Alizadeh
Ph D East Azerbaijan regional water company Tabriz, East Azerbaijan, Iran
Alireza Faregh Gharamaleki
M Sc East Azerbaijan regional water company, Tabriz, East Azerbaijan, Iran
Ali Nasiri
M Sc East Azerbaijan regional water company, Tabriz, East Azerbaijan, Iran
Masoud Habibzadeh
M Sc East Azerbaijan regional water company, Tabriz, East Azerbaijan, Iran
شیوه ارجاع
Alizadeh, Farhad and Faregh Gharamaleki, Alireza and Nasiri, Ali and Habibzadeh, Masoud,1397,Prediction of suspended sediment transport in Ajichay river basin using ANFIS approach,11th International River Engineering Conference,Ahvaz
ارائهشده در
مجموعه مقالات یازدهمین سمینار بین المللی مهندسی رودخانه9 بهمن 1397 · اهواز